A Transport Redundancy Approach to Spatial Clustering
Electronic Theses and Dissertations
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Item Details
- abstract
- In this thesis, we consider a new random walks-based method for measuring clustering on finite graphs. The method is versatile and can provide valuable insight into the locations of centers of clusters and outliers. Some results and applications are discussed.
- subject
- Networks
- Outlier detection
- Random walks
- Spatial clustering
- contributor
- Berenhaut, Kenneth (committee chair)
- Erway, Jennifer (committee member)
- Erhardt, Robert (committee member)
- date
- 2014-07-10T08:35:35Z (accessioned)
- 2014 (issued)
- degree
- Mathematics (discipline)
- 10000-01-01 (liftdate)
- embargo
- forever (terms)
- identifier
- http://hdl.handle.net/10339/39291 (uri)
- language
- en (iso)
- publisher
- Wake Forest University
- title
- A Transport Redundancy Approach to Spatial Clustering
- type
- Thesis